Columbia Sportswear (COLM) Operating Income (2010 - 2026)
Columbia Sportswear's Operating Income came in at $30.88 million for Q2 2026, compared with -$23.59 million a year earlier and down 26.5% from the prior quarter.
Columbia Sportswear (COLM) Operating Income (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Columbia Sportswear reported Operating Income of $257 million, down 5.8% year-over-year; for FY2025, it was $207.04 million, down 23.5% from FY2024.
- Operating Income has declined in each of the last four years, though with a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- Going back by year, Operating Income was $270.74 million in FY2024 (-12.7%), $310.28 million in FY2023 (-21.1%), $393.1 million in FY2022 (-12.7%) and $450.5 million in FY2021 (+228.7%).
- The five-year range for quarterly Operating Income is -$23.8 million (Q2 2024) to $211.57 million (Q4 2021).
- Year-over-year, Operating Income increased in two of the last six quarters, with an average decline of 9.3%.
- The fastest year-over-year change in Operating Income over five years came in Q4 2021 (growth of 71.0%), and the weakest in Q2 2022 (a decline of 74.9%).
- Business Quant data shows COLM's Operating Income at $41.99 million (Q1 2026), $116.74 million (Q4 2025) and $67.39 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 888.00 Mn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 453.65 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 222.30 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -83.07 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 175.90 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 236.02 Mn |
| 10 | Columbia Sportswear | 3.07 Bn | 882.66 Mn | 358.43 Mn | 30.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.88 Mn |
| Mar 31, 2026 | 41.99 Mn |
| Dec 31, 2025 | 116.74 Mn |
| Sep 30, 2025 | 67.39 Mn |
| Jun 30, 2025 | -23.59 Mn |
| Mar 31, 2025 | 46.51 Mn |
| Dec 31, 2024 | 137.32 Mn |
| Sep 30, 2024 | 112.54 Mn |
| Jun 30, 2024 | -23.80 Mn |
| Mar 31, 2024 | 44.68 Mn |
| Dec 31, 2023 | 113.07 Mn |
| Sep 30, 2023 | 134.55 Mn |
| Jun 30, 2023 | 6.23 Mn |
| Mar 31, 2023 | 56.43 Mn |
| Dec 31, 2022 | 155.40 Mn |
| Sep 30, 2022 | 145.26 Mn |
| Jun 30, 2022 | 8.77 Mn |
| Mar 31, 2022 | 83.67 Mn |
| Dec 31, 2021 | 211.57 Mn |
| Sep 30, 2021 | 133.46 Mn |
Columbia Sportswear Operating Income API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-income&ticker=COLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "ticker": "COLM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-income&ticker=COLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();